Guidehouse is a consulting firm specializing in healthcare analytics, and they are seeking a Healthcare Solution Analyst to join their team. The role involves leveraging analytic models to deliver insights for healthcare clients across various domains, while collaborating with cross-functional teams to innovate and develop new analytic solutions.
Responsibilities:
- Support delivery of project-based analytics engagements for Healthcare consulting engagements across multiple clients and teams concurrently
- Leverage analytic models and tools to provide high quality outputs and insights for Healthcare clients in multiple content domains
- Collaborate with Healthcare Analytics colleagues and Guidehouse consulting teams to problem solve and provide content expertise to tailor solutions for individual clients
- Produce analytics for use in sales pursuits that link to solutions and services
- Develop and maintain library of materials and tools to support solution delivery (i.e., solution descriptions, budget models, sales materials, training materials, models and methodologies)
- Develop relationships with consulting teams and content experts to drive continued innovation
- Incorporate client feedback and experience into solutions to foster continual improvement
Requirements:
- Bachelor's degree is required
- Minimum THREE (3) years of experience within specific Healthcare content domain with focus on analytics, business intelligence, consulting, product management, project management and/or healthcare services leveraging data and analytics. a relevant Master's degree may be used in lieu of TWO (2) years' experience
- Highly motivated, driven, and dynamic attitude towards work and career
- Champion of data analytics and its potential to guide critical business decisions and impact Healthcare
- Demonstrated track record of delivering high quality end-products/services in content area
- Highly proficient technical skills in databases, relational data sets with expertise in SQL
- Proven abilities in data modeling, design, and analytic techniques leveraging large or complex data sets, e.g., ETL process design and administration, within common database and business intelligence / reporting platforms, e.g., SQL, SSIS, R, Azure data factory, Databricks, Power BI, Tableau, TIBCO Spotfire or others
- Proficient in developing code logic to analyze large healthcare data assets
- Strong understanding of healthcare claims (facility or payer) data and/or HIT applications including those used to manage patient, financial, clinical, claims and/or operational data, is a strong advantage
- A strong problem solver and fast learner with demonstrated analytic and quantitative skills
- Detail-oriented in approach to work self-starter able to work independently
- Excellent verbal and written communication skills
- Travel as necessary (minimal)
- Experience in any of the following healthcare content domains is highly preferred: Clinical Effectiveness (LOS, cost per case, clinical variability), Population health – healthcare cost, utilization and quality, Value-based care strategies
- Snowflake and Apache Spark
- Programming Languages – R, Python
- Understanding of overall medical claims and/or EHR datasets